— SDA Starter for One Subsystem

Test whether signaling design automation works for one real subsystem

Test whether signaling design automation works for one real subsystem

Railway signaling projects often rely on manual design, configuration, checking, documentation, and verification.

This assessment helps you see whether Signaling Design Automation can reduce manual effort, improve repeatability, generate useful artifacts, and strengthen verification confidence for a bounded subsystem scope.

  • Level 1 — Build and prove

Approx. 6 weeks

Assess automation feasibility without committing to a full program.

One subsystem scope

Use a representative area, function, or engineering boundary.

Generated outputs

Create selected models, artifacts, documentation, or verification inputs.

Scale-up decision

Decide whether to expand, adjust, or improve the foundation first.

Start an SDA assessment

Share a few details and a Prover expert will help define the right subsystem scope for an SDA Starter.

— The challenge

Manual engineering limits scale when delivery becomes more software-driven

Repeated interpretation, configuration, checking, documentation, and verification consume expert capacity and make it harder to maintain consistency across requirements, models, generated outputs, and evidence.

  • High manual engineering effort
  • Recurring defects in design or configuration
  • Long review and verification cycles
  • Inconsistent outputs across projects or teams
  • Difficulty reusing proven engineering logic
  • Uncertainty about whether automation can work in practice

— Where it matters

Automation value depends on connecting generation with verification

Before you scale automation across projects, you need to prove that it works for a bounded, realistic signaling scope.

  • Interlocking logic
  • Subsystem configuration
  • Control tables
  • Application data
  • Design rules
  • Code generation
  • Simulation
  • Formal verification
— The Offer

A bounded SDA assessment for one realistic engineering scope

A bounded SDA assessment for one realistic engineering scope

SDA Starter for one subsystem evaluates whether Signaling Design Automation can be applied to a defined subsystem, area, or representative signaling scope.

Prover uses a structured, model-based approach to configure a limited automation flow, generate selected engineering artifacts, run simulation and verification, and assess the value of SDA for the customer’s context.

Signaling design automation assessment
— Who it is for

For teams that want repeatable engineering without weakening assurance

For infrastructure managers, suppliers, integrators, consultants, and delivery teams that need to test whether automation can improve speed, quality, repeatability, and verification confidence in a practical subsystem scope.

Infrastructure Managers

Evaluate SDA as a path to more controlled delivery

Assess how SDA can support predictable project delivery, stronger supplier alignment, better requirement validation, and more standardized lifecycle engineering.

Suppliers & Integrators

Reduce manual effort without increasing risk

Explore how SDA can improve engineering productivity, generate repeatable outputs, and strengthen verification confidence for delivery teams.

Consultants & Engineering Firms

Create a practical automation-readiness view

Support feasibility assessment, bid preparation, early project planning, and customer decisions around model-based engineering.

— What you get

An SDA feasibility package built around inputs, outputs, and verification

The assessment combines input review, automation baseline setup, model and artifact generation, simulation, verification, and decision support. The goal is not a full automation transformation — it is to prove whether SDA can create value in one realistic scope.

— Assessment flow

How Prover tests SDA on a selected subsystem

We move from subsystem scope and input readiness to an automation baseline, generated artifacts, simulation, verification, and scale-up recommendations.

Define the subsystem scope

Select the subsystem, signaling area, engineering boundary, or representative automation target.

Review inputs and readiness

Assess requirements, design rules, signaling principles, configuration data, and subsystem information.

Generate and configure artifacts

Set up a limited SDA baseline and generate selected models, configuration outputs, documentation, or verification artifacts.

Verify and recommend next steps

Run simulation and verification where applicable, then define feasibility, limitations, and expansion options.

— Deliverables

What the customer receives

Concrete outputs that support decision-making and follow-on work.

SDA feasibility assessment

A clear assessment of whether SDA is suitable for the selected subsystem scope and what conditions must be in place to scale it.

Executable subsystem model

A model or configured representation that can support simulation, validation, and verification.

Generated engineering artifacts

Selected generated or configured outputs, such as design artifacts, control tables, code models, documentation, or configuration outputs.

Simulation and verification results

Scenario results and, where applicable, formal verification results showing whether defined properties or requirements hold.

Automation value summary

A practical summary of where SDA can reduce manual effort, improve repeatability, strengthen verification, or support future scale-up.

Want to know whether one subsystem is ready for SDA?

— How it works

A practical assessment before automation becomes a program decision

The engagement is designed to create value quickly without requiring a full-scale automation program.

Week 0

Onboarding and scope lock

Agree the subsystem, requirements, input material, intended outputs, assumptions, and success criteria.

Week 1-2

Input review and baseline setup

Review available requirements, rules, and data, then set up the SDA baseline for the selected scope.

Week 3-4

Configuration and generation

Configure the selected scope, generate representative artifacts, and iterate based on findings.

Week 5

Simulation and verification

Assess behavior, consistency, and alignment with requirements through simulation and verification.

Week 6

Readout and decision support

Present results and recommend whether to proceed, adjust, or improve the foundation before scaling SDA.

— Value and decision

Prove automation value before scaling the engineering process

SDA Starter for One Subsystem helps customers evaluate automation in a controlled way before committing to broader process change.

  • See how a selected subsystem can move from structured inputs to generated outputs and verification results.
  • Identify which repetitive engineering tasks can be automated or made more repeatable.
  • Reduce variation between requirements, models, generated artifacts, and verification results.
  • Use simulation and formal verification to identify issues before they move into later project stages.
  • Understand whether SDA is ready to scale, what needs to improve, and where business value is likely to appear.

Yes

SDA is suitable for the selected scope

The subsystem can be modeled, generated, simulated, and verified in a meaningful way. Value is clear and input quality is sufficient.

Next step: expand SDA to more functions, more areas, additional outputs, or a larger project scope.

Conditional yes

SDA shows value, but needs adjustments

Requirements, data, rules, tooling, or scope need targeted improvement before scaling.

Next step: perform focused requirement structuring, data preparation, rule formalization, or automation refinement.

No

SDA is not ready for this scope yet

The input material is too immature, requirements are unclear, or the automation target is not well defined.

Next step: improve the foundation before using SDA in critical downstream processes.

— What comes next

From one subsystem assessment to repeatable engineering

Step 1

Requirements structuring

Improve and formalize requirements so they can better support automation and verification.

Step 2

Data readiness

Ensure configuration and design data are ready for automated workflows.

Step 3

Expanded SDA scope

Apply automation to more functions, areas, subsystems, or project variants.

Step 4

Digital twin and proof

Use executable models as the foundation for simulation, validation, formal verification, and proof packs.

Step 5

Lifecycle automation

Reuse the SDA baseline for future updates, variants, regression verification, and recurring engineering change.

Prove SDA on one subsystem first – then scale automation with stronger confidence.

— Why Prover

Signaling design automation is not just about generating outputs. It is about generating trust.

Prover works at the intersection of signaling knowledge, formal methods, executable models, automated generation, simulation, verification, and lifecycle assurance.

That means SDA is treated as a controlled way to connect requirements, models, generated artifacts, verification results, and evidence.

  • Connect SDA to digital twins, formal verification, acceptance testing, sign-off evidence, migration, and lifecycle change.
  • Create automation that is not only faster, but more trustworthy.
  • Turn automation potential into practical evidence for how engineering can scale.
0

Signaling systems verified

0

Markets worldwide

— Start here

Before you scale automation across projects, prove it works for one subsystem.

SDA Starter for One Subsystem gives you a focused, practical way to assess automation feasibility, generate representative outputs, verify behavior, and decide the right next step.

Share a few details and a Prover expert will help define the right SDA assessment scope.

Focused scope

Start with one subsystem, area, function, or representative engineering boundary.

Automation-ready output

Know whether to scale, adjust, or improve the foundation first.

Request assessment scoping

Tell us what subsystem or engineering workflow you want to assess.